Senior Data Scientist

Are you a seasoned Data Scientist with a passion for solving real-world problems and a track record of deploying production-ready machine learning systems? We are an early-stage, super high-growth startup looking for a Senior Data Scientist to join our team in Sydney and help shape the future of our data-driven products.

In this role, you will have the opportunity to work directly with our Chief Technology Officer and wider Data Scinece Team and play a pivotal part in building new credit and behavioural models, as well as improving and extending our existing ones. You won't just be building models in a vacuum; you'll be managing loan portfolio performance and coaching and mentoring our engineering and data science teams on data management, analysis, and machine learning.

What You’ll Do:

• Drive Innovation: Conduct exploratory data analysis and visualisation to uncover insights and drive product development.

• Build and Scale: Develop and deploy new credit and behavioural models that directly impact our business growth.

• Lead and Mentor: Coach and mentor our growing engineering and data science teams, fostering a culture of continuous learning and excellence.

• Manage Performance: Take ownership of loan portfolio performance, ensuring our models are delivering real-world value.

What You’ll Bring:

• Proven Expertise: 4+ years of experience in the practical application of data science to real-world problems.

• Technical Depth: A deep understanding of ML techniques such as GLM, GBM, XGBoost, and SVM for predictive modelling.

• Coding Proficiency: Intermediate programming skills in Python, Scala, Javascript, Typescript, or R, along with intermediate SQL knowledge.

• Production Mindset: Experience working with production ML systems and a clear understanding of how to monitor ongoing performance effectively.

• Communication Skills: Strong visualisation skills to present complex data relationships and the ability to communicate effectively with both technical and non-technical stakeholders.

Bonus Points For:

• Experience with AWS and practical use of S3, Glue, Athena, IAM, and Sagemaker.

• Experience in data management at scale with high-dimensionality, sparse datasets.

Why Join Us?

We offer a dynamic and fast-paced work environment where you can make a real impact from day one. We value respectful and constructive communication, regular feedback, and a focus on resolving customer issues successfully. We also offer flexibility around working hours and the option to work from home, while maintaining a strong connection to our team ceremonies.

If you're ready to take the next step in your career and join a team that is passionate about using data to drive innovation, we'd love to hear from you.

Apply now!